Yellow Cab - Profiling Report

Dataset statistics

Number of variables	20
Number of observations	214679
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	100.7 MiB
Average record size in memory	491.9 B

Variable types

Numeric	12
DateTime	1
Categorical	7

Warnings

`Company` has constant value "Yellow Cab"	Constant
`df_index` is highly correlated with `Transaction ID` and 1 other fields	High correlation
`Transaction ID` is highly correlated with `df_index` and 1 other fields	High correlation
`KM Travelled` is highly correlated with `Cost of Trip`	High correlation
`Cost of Trip` is highly correlated with `KM Travelled`	High correlation
`Population` is highly correlated with `Users`	High correlation
`Users` is highly correlated with `Population`	High correlation
`Year` is highly correlated with `df_index` and 1 other fields	High correlation
`Company` is highly correlated with `Year` and 5 other fields	High correlation
`Year` is highly correlated with `Company`	High correlation
`City` is highly correlated with `Company`	High correlation
`Holiday` is highly correlated with `Company`	High correlation
`Day of Week` is highly correlated with `Company`	High correlation
`Payment_Mode` is highly correlated with `Company`	High correlation
`Gender` is highly correlated with `Company`	High correlation
`df_index` has unique values	Unique
`Transaction ID` has unique values	Unique

Reproduction

Analysis started	2021-02-27 19:44:25.389760
Analysis finished	2021-02-27 19:45:40.595617
Duration	1 minute and 15.21 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	214679
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	179235.1597
Minimum	0
Maximum	359391
Zeros	1
Zeros (%)	< 0.1%
Memory size	1.6 MiB

Quantile statistics

Minimum	0
5-th percentile	17282.9
Q1	90006.5
median	179319
Q3	268392
95-th percentile	341682.1
Maximum	359391
Range	359391
Interquartile range (IQR)	178385.5

Descriptive statistics

Standard deviation	103834.9944
Coefficient of variation (CV)	0.5793226875
Kurtosis	-1.194441126
Mean	179235.1597
Median Absolute Deviation (MAD)	89187
Skewness	0.003038595775
Sum	3.847802486 × 10¹⁰
Variance	1.078170607 × 10¹⁰
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6141	1	< 0.1%
351230	1	< 0.1%
97146	1	< 0.1%
91001	1	< 0.1%
93048	1	< 0.1%
72566	1	< 0.1%
78707	1	< 0.1%
119663	1	< 0.1%
117612	1	< 0.1%
129898	1	< 0.1%
Other values (214669)	214669	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
16	1	< 0.1%

Value	Count	Frequency (%)
359391	1	< 0.1%
359382	1	< 0.1%
359378	1	< 0.1%
359377	1	< 0.1%
359376	1	< 0.1%
359375	1	< 0.1%
359374	1	< 0.1%
359373	1	< 0.1%
359372	1	< 0.1%
359371	1	< 0.1%

Transaction ID
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	214679
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10220316.1
Minimum	10000384
Maximum	10439521
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	10000384
5-th percentile	10021446.9
Q1	10111083.5
median	10220504
Q3	10329683.5
95-th percentile	10418340.1
Maximum	10439521
Range	439137
Interquartile range (IQR)	218600

Descriptive statistics

Standard deviation	126960.4235
Coefficient of variation (CV)	0.01242235781
Kurtosis	-1.192876614
Mean	10220316.1
Median Absolute Deviation (MAD)	109300
Skewness	0.003114962661
Sum	2.19408724 × 10¹²
Variance	1.611894914 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10386066	1	< 0.1%
10228297	1	< 0.1%
10236009	1	< 0.1%
10354766	1	< 0.1%
10294058	1	< 0.1%
10246938	1	< 0.1%
10228138	1	< 0.1%
10239439	1	< 0.1%
10294045	1	< 0.1%
10077640	1	< 0.1%
Other values (214669)	214669	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10000384	1	< 0.1%
10000385	1	< 0.1%
10000386	1	< 0.1%
10000387	1	< 0.1%
10000388	1	< 0.1%
10000389	1	< 0.1%
10000390	1	< 0.1%
10000391	1	< 0.1%
10000392	1	< 0.1%
10000393	1	< 0.1%

Value	Count	Frequency (%)
10439521	1	< 0.1%
10439514	1	< 0.1%
10439505	1	< 0.1%
10439504	1	< 0.1%
10439485	1	< 0.1%
10439451	1	< 0.1%
10439444	1	< 0.1%
10439437	1	< 0.1%
10439428	1	< 0.1%
10439427	1	< 0.1%

Date of Travel
Date

Distinct	1095
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Minimum	2016-01-02 00:00:00
Maximum	2018-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Company
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.7 MiB

Yellow Cab	214679

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	2146790
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yellow Cab
2nd row	Yellow Cab
3rd row	Yellow Cab
4th row	Yellow Cab
5th row	Yellow Cab

Value	Count	Frequency (%)
Yellow Cab	214679	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
yellow	214679	50.0%
cab	214679	50.0%

Most occurring characters

Value	Count	Frequency (%)
l	429358	20.0%
Y	214679	10.0%
e	214679	10.0%
o	214679	10.0%
w	214679	10.0%
	214679	10.0%
C	214679	10.0%
a	214679	10.0%
b	214679	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1502753	70.0%
Uppercase Letter	429358	20.0%
Space Separator	214679	10.0%

Most frequent character per category

Value	Count	Frequency (%)
l	429358	28.6%
e	214679	14.3%
o	214679	14.3%
w	214679	14.3%
a	214679	14.3%
b	214679	14.3%

Value	Count	Frequency (%)
Y	214679	50.0%
C	214679	50.0%

Value	Count	Frequency (%)
	214679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1932111	90.0%
Common	214679	10.0%

Most frequent character per script

Value	Count	Frequency (%)
l	429358	22.2%
Y	214679	11.1%
e	214679	11.1%
o	214679	11.1%
w	214679	11.1%
C	214679	11.1%
a	214679	11.1%
b	214679	11.1%

Value	Count	Frequency (%)
	214679	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2146790	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	429358	20.0%
Y	214679	10.0%
e	214679	10.0%
o	214679	10.0%
w	214679	10.0%
	214679	10.0%
C	214679	10.0%
a	214679	10.0%
b	214679	10.0%

City
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

NEW YORK NY	85918
CHICAGO IL	47264
LOS ANGELES CA	28168
BOSTON MA	24506
ATLANTA GA	5795
Other values (10)	23028

Length

Max length	14
Median length	11
Mean length	10.79549933
Min length	8

Characters and Unicode

Total characters	2317567
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BOSTON MA
2nd row	CHICAGO IL
3rd row	NEW YORK NY
4th row	LOS ANGELES CA
5th row	CHICAGO IL

Value	Count	Frequency (%)
NEW YORK NY	85918	40.0%
CHICAGO IL	47264	22.0%
LOS ANGELES CA	28168	13.1%
BOSTON MA	24506	11.4%
ATLANTA GA	5795	2.7%
DALLAS TX	5637	2.6%
MIAMI FL	4452	2.1%
AUSTIN TX	3028	1.4%
ORANGE COUNTY	2469	1.2%
DENVER CO	2431	1.1%
Other values (5)	5011	2.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	85918	15.8%
york	85918	15.8%
new	85918	15.8%
chicago	47264	8.7%
il	47264	8.7%
ca	30179	5.5%
angeles	28168	5.2%
los	28168	5.2%
boston	24506	4.5%
ma	24506	4.5%
Other values (20)	56613	10.4%

Most occurring characters

Value	Count	Frequency (%)
	329743	14.2%
N	246251	10.6%
O	220942	9.5%
A	180564	7.8%
Y	174305	7.5%
E	153965	6.6%
C	130640	5.6%
L	127459	5.5%
I	110438	4.8%
S	93318	4.0%
Other values (15)	549942	23.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1987824	85.8%
Space Separator	329743	14.2%

Most frequent character per category

Value	Count	Frequency (%)
N	246251	12.4%
O	220942	11.1%
A	180564	9.1%
Y	174305	8.8%
E	153965	7.7%
C	130640	6.6%
L	127459	6.4%
I	110438	5.6%
S	93318	4.7%
R	92482	4.7%
Other values (14)	457460	23.0%

Value	Count	Frequency (%)
	329743	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1987824	85.8%
Common	329743	14.2%

Most frequent character per script

Value	Count	Frequency (%)
N	246251	12.4%
O	220942	11.1%
A	180564	9.1%
Y	174305	8.8%
E	153965	7.7%
C	130640	6.6%
L	127459	6.4%
I	110438	5.6%
S	93318	4.7%
R	92482	4.7%
Other values (14)	457460	23.0%

Value	Count	Frequency (%)
	329743	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2317567	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	329743	14.2%
N	246251	10.6%
O	220942	9.5%
A	180564	7.8%
Y	174305	7.5%
E	153965	6.6%
C	130640	5.6%
L	127459	5.5%
I	110438	4.8%
S	93318	4.0%
Other values (15)	549942	23.7%

KM Travelled
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	874
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	22.56776252
Minimum	1.9
Maximum	48
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1.9
5-th percentile	3.57
Q1	12
median	22.47
Q3	32.98
95-th percentile	42
Maximum	48
Range	46.1
Interquartile range (IQR)	20.98

Descriptive statistics

Standard deviation	12.23534095
Coefficient of variation (CV)	0.542160125
Kurtosis	-1.125975613
Mean	22.56776252
Median Absolute Deviation (MAD)	10.49
Skewness	0.05375046895
Sum	4844824.69
Variance	149.7035681
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.6	922	0.4%
22.8	669	0.3%
24	654	0.3%
35.7	644	0.3%
37.44	639	0.3%
16.8	628	0.3%
39.6	609	0.3%
28.08	568	0.3%
21.85	479	0.2%
19.2	469	0.2%
Other values (864)	208398	97.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.9	213	0.1%
1.92	226	0.1%
1.94	206	0.1%
1.96	219	0.1%
1.98	234	0.1%
2	224	0.1%
2.02	210	0.1%
2.04	223	0.1%
2.06	188	0.1%
2.08	225	0.1%

Value	Count	Frequency (%)
48	221	0.1%
47.6	246	0.1%
47.2	233	0.1%
46.8	436	0.2%
46.41	240	0.1%
46.4	209	0.1%
46.02	244	0.1%
46	196	0.1%
45.63	197	0.1%
45.6	416	0.2%

Price Charged
Real number (ℝ_≥0)

Distinct	92003
Distinct (%)	42.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	476.4425666
Minimum	20.73
Maximum	2048.03
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	20.73
5-th percentile	71.71
Q1	234.815
median	439.86
Q3	660.83
95-th percentile	1040.581
Maximum	2048.03
Range	2027.3
Interquartile range (IQR)	426.015

Descriptive statistics

Standard deviation	300.6089791
Coefficient of variation (CV)	0.6309448403
Kurtosis	0.2016614755
Mean	476.4425666
Median Absolute Deviation (MAD)	212.1
Skewness	0.7192370246
Sum	102282213.8
Variance	90365.75832
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
538.44	12	< 0.1%
341.16	12	< 0.1%
85.97	11	< 0.1%
196.03	11	< 0.1%
577.16	11	< 0.1%
185.38	11	< 0.1%
475.02	11	< 0.1%
79.38	11	< 0.1%
625.58	11	< 0.1%
261.66	10	< 0.1%
Other values (91993)	214568	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20.73	1	< 0.1%
22	1	< 0.1%
22.04	1	< 0.1%
22.11	1	< 0.1%
22.37	1	< 0.1%
22.42	1	< 0.1%
22.52	1	< 0.1%
22.59	1	< 0.1%
22.79	1	< 0.1%
22.81	1	< 0.1%

Value	Count	Frequency (%)
2048.03	1	< 0.1%
2016.7	1	< 0.1%
2013.95	1	< 0.1%
1993.83	1	< 0.1%
1981.05	1	< 0.1%
1978.79	1	< 0.1%
1957.1	1	< 0.1%
1947.91	1	< 0.1%
1925.92	1	< 0.1%
1920.59	1	< 0.1%

Cost of Trip
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9808
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	297.9044013
Minimum	22.8
Maximum	691.2
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	22.8
5-th percentile	47.6064
Q1	158.4
median	295.608
Q3	432.5616
95-th percentile	558.144
Maximum	691.2
Range	668.4
Interquartile range (IQR)	274.1616

Descriptive statistics

Standard deviation	162.5627971
Coefficient of variation (CV)	0.5456877992
Kurtosis	-1.076249653
Mean	297.9044013
Median Absolute Deviation (MAD)	137.0256
Skewness	0.08572898348
Sum	63953818.96
Variance	26426.663
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
479.808	139	0.1%
471.744	129	0.1%
362.88	118	0.1%
488.376	115	0.1%
370.656	112	0.1%
403.2	108	0.1%
423.36	108	0.1%
435.456	106	< 0.1%
287.28	106	< 0.1%
241.92	105	< 0.1%
Other values (9798)	213533	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
22.8	12	< 0.1%
23.028	9	< 0.1%
23.04	10	< 0.1%
23.256	7	< 0.1%
23.2704	11	< 0.1%
23.28	5	< 0.1%
23.484	12	< 0.1%
23.5008	14	< 0.1%
23.5128	10	< 0.1%
23.52	9	< 0.1%

Value	Count	Frequency (%)
691.2	7	< 0.1%
685.44	24	< 0.1%
679.728	9	< 0.1%
679.68	24	< 0.1%
674.016	28	< 0.1%
673.92	28	< 0.1%
668.352	12	< 0.1%
668.304	42	< 0.1%
668.16	18	< 0.1%
662.7348	15	< 0.1%

Customer ID
Real number (ℝ_≥0)

Distinct	28458
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12832.31576
Minimum	1
Maximum	60000
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1
5-th percentile	380
Q1	1876
median	4372
Q3	8966
95-th percentile	58682
Maximum	60000
Range	59999
Interquartile range (IQR)	7090

Descriptive statistics

Standard deviation	18731.15845
Coefficient of variation (CV)	1.459686529
Kurtosis	1.403269138
Mean	12832.31576
Median Absolute Deviation (MAD)	3018
Skewness	1.715258081
Sum	2754828715
Variance	350856297
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1803	47	< 0.1%
1360	47	< 0.1%
494	47	< 0.1%
636	46	< 0.1%
903	45	< 0.1%
2766	45	< 0.1%
126	45	< 0.1%
2577	44	< 0.1%
992	44	< 0.1%
1070	44	< 0.1%
Other values (28448)	214225	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	25	< 0.1%
2	36	< 0.1%
3	40	< 0.1%
4	25	< 0.1%
5	23	< 0.1%
6	23	< 0.1%
7	34	< 0.1%
8	29	< 0.1%
9	35	< 0.1%
10	21	< 0.1%

Value	Count	Frequency (%)
60000	14	< 0.1%
59999	6	< 0.1%
59998	6	< 0.1%
59997	8	< 0.1%
59996	4	< 0.1%
59995	11	< 0.1%
59994	10	< 0.1%
59993	12	< 0.1%
59992	8	< 0.1%
59991	7	< 0.1%

Payment_Mode
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

Card	128792
Cash	85887

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	858716
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Card
2nd row	Cash
3rd row	Cash
4th row	Cash
5th row	Cash

Value	Count	Frequency (%)
Card	128792	60.0%
Cash	85887	40.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
card	128792	60.0%
cash	85887	40.0%

Most occurring characters

Value	Count	Frequency (%)
C	214679	25.0%
a	214679	25.0%
r	128792	15.0%
d	128792	15.0%
s	85887	10.0%
h	85887	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	644037	75.0%
Uppercase Letter	214679	25.0%

Most frequent character per category

Value	Count	Frequency (%)
a	214679	33.3%
r	128792	20.0%
d	128792	20.0%
s	85887	13.3%
h	85887	13.3%

Value	Count	Frequency (%)
C	214679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	858716	100.0%

Most frequent character per script

Value	Count	Frequency (%)
C	214679	25.0%
a	214679	25.0%
r	128792	15.0%
d	128792	15.0%
s	85887	10.0%
h	85887	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858716	100.0%

Most frequent character per block

Value	Count	Frequency (%)
C	214679	25.0%
a	214679	25.0%
r	128792	15.0%
d	128792	15.0%
s	85887	10.0%
h	85887	10.0%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.7 MiB

Male	125622
Female	89057

Length

Max length	6
Median length	4
Mean length	4.829675935
Min length	4

Characters and Unicode

Total characters	1036830
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Value	Count	Frequency (%)
Male	125622	58.5%
Female	89057	41.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	125622	58.5%
female	89057	41.5%

Most occurring characters

Value	Count	Frequency (%)
e	303736	29.3%
a	214679	20.7%
l	214679	20.7%
M	125622	12.1%
F	89057	8.6%
m	89057	8.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	822151	79.3%
Uppercase Letter	214679	20.7%

Most frequent character per category

Value	Count	Frequency (%)
e	303736	36.9%
a	214679	26.1%
l	214679	26.1%
m	89057	10.8%

Value	Count	Frequency (%)
M	125622	58.5%
F	89057	41.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1036830	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	303736	29.3%
a	214679	20.7%
l	214679	20.7%
M	125622	12.1%
F	89057	8.6%
m	89057	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036830	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	303736	29.3%
a	214679	20.7%
l	214679	20.7%
M	125622	12.1%
F	89057	8.6%
m	89057	8.6%

Age
Real number (ℝ_≥0)

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	35.36739504
Minimum	18
Maximum	65
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	18
5-th percentile	19
Q1	25
median	33
Q3	42
95-th percentile	61
Maximum	65
Range	47
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	12.62347245
Coefficient of variation (CV)	0.3569240096
Kurtosis	-0.4762890592
Mean	35.36739504
Median Absolute Deviation (MAD)	8
Skewness	0.6796008014
Sum	7592637
Variance	159.3520567
Monotocity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
23	7580	3.5%
20	7373	3.4%
32	7256	3.4%
27	7112	3.3%
21	7088	3.3%
25	7078	3.3%
22	7070	3.3%
39	6990	3.3%
33	6988	3.3%
19	6978	3.3%
Other values (38)	143166	66.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	6258	2.9%
19	6978	3.3%
20	7373	3.4%
21	7088	3.3%
22	7070	3.3%
23	7580	3.5%
24	6644	3.1%
25	7078	3.3%
26	6844	3.2%
27	7112	3.3%

Value	Count	Frequency (%)
65	1992	0.9%
64	2365	1.1%
63	2183	1.0%
62	2189	1.0%
61	2598	1.2%
60	2397	1.1%
59	2364	1.1%
58	2453	1.1%
57	2109	1.0%
56	2276	1.1%

Income (USD/Month)
Real number (ℝ_≥0)

Distinct	17824
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15099.1665
Minimum	2007
Maximum	34996
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	2007
5-th percentile	3238
Q1	8495
median	14737
Q3	21049
95-th percentile	29694
Maximum	34996
Range	32989
Interquartile range (IQR)	12554

Descriptive statistics

Standard deviation	7976.343733
Coefficient of variation (CV)	0.528263844
Kurtosis	-0.6608618242
Mean	15099.1665
Median Absolute Deviation (MAD)	6282
Skewness	0.3022976191
Sum	3241473964
Variance	63622059.35
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8899	110	0.1%
22525	109	0.1%
9797	100	< 0.1%
16137	99	< 0.1%
17580	98	< 0.1%
13413	95	< 0.1%
19256	95	< 0.1%
16512	93	< 0.1%
9866	90	< 0.1%
20884	88	< 0.1%
Other values (17814)	213702	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2007	16	< 0.1%
2009	1	< 0.1%
2010	1	< 0.1%
2011	1	< 0.1%
2012	67	< 0.1%
2013	3	< 0.1%
2015	2	< 0.1%
2017	2	< 0.1%
2019	17	< 0.1%
2020	5	< 0.1%

Value	Count	Frequency (%)
34996	2	< 0.1%
34995	2	< 0.1%
34989	23	< 0.1%
34985	14	< 0.1%
34984	9	< 0.1%
34983	2	< 0.1%
34973	1	< 0.1%
34972	7	< 0.1%
34968	11	< 0.1%
34967	13	< 0.1%

Population
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4152714.67
Minimum	248968
Maximum	8405837
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	248968
5-th percentile	248968
Q1	1595037
median	1955130
Q3	8405837
95-th percentile	8405837
Maximum	8405837
Range	8156869
Interquartile range (IQR)	6810800

Descriptive statistics

Standard deviation	3511699.739
Coefficient of variation (CV)	0.8456395438
Kurtosis	-1.791341632
Mean	4152714.67
Median Absolute Deviation (MAD)	1706162
Skewness	0.3407323926
Sum	8.915006326 × 10¹¹
Variance	1.233203506 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
8405837	85918	40.0%
1955130	47264	22.0%
1595037	28168	13.1%
248968	24506	11.4%
814885	5795	2.7%
942908	5637	2.6%
1339155	4452	2.1%
698371	3028	1.4%
1030185	2469	1.2%
754233	2431	1.1%
Other values (5)	5011	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
248968	24506	11.4%
327225	1169	0.5%
542085	631	0.3%
545776	1033	0.5%
698371	3028	1.4%
754233	2431	1.1%
814885	5795	2.7%
942908	5637	2.6%
943999	1200	0.6%
959307	978	0.5%

Value	Count	Frequency (%)
8405837	85918	40.0%
1955130	47264	22.0%
1595037	28168	13.1%
1339155	4452	2.1%
1030185	2469	1.2%
959307	978	0.5%
943999	1200	0.6%
942908	5637	2.6%
814885	5795	2.7%
754233	2431	1.1%

Users
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	187745.1734
Minimum	3643
Maximum	302149
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	3643
5-th percentile	14978
Q1	144132
median	164468
Q3	302149
95-th percentile	302149
Maximum	302149
Range	298506
Interquartile range (IQR)	158017

Descriptive statistics

Standard deviation	103764.7419
Coefficient of variation (CV)	0.5526892651
Kurtosis	-1.312639547
Mean	187745.1734
Median Absolute Deviation (MAD)	137681
Skewness	-0.187138635
Sum	4.030494609 × 10¹⁰
Variance	1.076712167 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
302149	85918	40.0%
164468	47264	22.0%
144132	28168	13.1%
80021	24506	11.4%
24701	5795	2.7%
22157	5637	2.6%
17675	4452	2.1%
14978	3028	1.4%
12994	2469	1.2%
12421	2431	1.1%
Other values (5)	5011	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3643	631	0.3%
6133	1200	0.6%
7044	1033	0.5%
9270	1169	0.5%
12421	2431	1.1%
12994	2469	1.2%
14978	3028	1.4%
17675	4452	2.1%
22157	5637	2.6%
24701	5795	2.7%

Value	Count	Frequency (%)
302149	85918	40.0%
164468	47264	22.0%
144132	28168	13.1%
80021	24506	11.4%
69995	978	0.5%
24701	5795	2.7%
22157	5637	2.6%
17675	4452	2.1%
14978	3028	1.4%
12994	2469	1.2%

Holiday
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.9 MiB

-	210758
Christmas Day	735
Thanksgiving Day	624
Veterans Day	506
Labor Day	380
Other values (6)	1676

Length

Max length	37
Median length	1
Mean length	1.261278467
Min length	1

Characters and Unicode

Total characters	270770
Distinct characters	40
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-
2nd row	-
3rd row	-
4th row	-
5th row	-

Value	Count	Frequency (%)
-	210758	98.2%
Christmas Day	735	0.3%
Thanksgiving Day	624	0.3%
Veterans Day	506	0.2%
Labor Day	380	0.2%
Columbus Day	362	0.2%
Independence Day	340	0.2%
Memorial Day	335	0.2%
Presidents Day (Washingtons Birthday)	251	0.1%
Martin Luther King Jr. Day	231	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
	210758	95.8%
day	3921	1.8%
christmas	735	0.3%
thanksgiving	624	0.3%
veterans	506	0.2%
labor	380	0.2%
columbus	362	0.2%
independence	340	0.2%
memorial	335	0.2%
washingtons	251	0.1%
Other values (8)	1740	0.8%

Most occurring characters

Value	Count	Frequency (%)
-	210758	77.8%
a	7391	2.7%
	5273	1.9%
y	4172	1.5%
n	3989	1.5%
s	3966	1.5%
D	3921	1.4%
e	3754	1.4%
i	3533	1.3%
r	3308	1.2%
Other values (30)	20705	7.6%

Most occurring categories

Value	Count	Frequency (%)
Dash Punctuation	210758	77.8%
Lowercase Letter	44812	16.5%
Uppercase Letter	9194	3.4%
Space Separator	5273	1.9%
Open Punctuation	251	0.1%
Close Punctuation	251	0.1%
Other Punctuation	231	0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	7391	16.5%
y	4172	9.3%
n	3989	8.9%
s	3966	8.9%
e	3754	8.4%
i	3533	7.9%
r	3308	7.4%
t	2456	5.5%
h	2092	4.7%
g	1730	3.9%
Other values (11)	8421	18.8%

Value	Count	Frequency (%)
D	3921	42.6%
C	1097	11.9%
T	624	6.8%
L	611	6.6%
M	566	6.2%
V	506	5.5%
I	340	3.7%
P	251	2.7%
W	251	2.7%
B	251	2.7%
Other values (4)	776	8.4%

Value	Count	Frequency (%)
-	210758	100.0%

Value	Count	Frequency (%)
	5273	100.0%

Value	Count	Frequency (%)
.	231	100.0%

Value	Count	Frequency (%)
(	251	100.0%

Value	Count	Frequency (%)
)	251	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	216764	80.1%
Latin	54006	19.9%

Most frequent character per script

Value	Count	Frequency (%)
a	7391	13.7%
y	4172	7.7%
n	3989	7.4%
s	3966	7.3%
D	3921	7.3%
e	3754	7.0%
i	3533	6.5%
r	3308	6.1%
t	2456	4.5%
h	2092	3.9%
Other values (25)	15424	28.6%

Value	Count	Frequency (%)
-	210758	97.2%
	5273	2.4%
(	251	0.1%
)	251	0.1%
.	231	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	270770	100.0%

Most frequent character per block

Value	Count	Frequency (%)
-	210758	77.8%
a	7391	2.7%
	5273	1.9%
y	4172	1.5%
n	3989	1.5%
s	3966	1.5%
D	3921	1.4%
e	3754	1.4%
i	3533	1.3%
r	3308	1.2%
Other values (30)	20705	7.6%

Profit
Real number (ℝ)

Distinct	201424
Distinct (%)	93.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	178.5381653
Minimum	-160.714
Maximum	1463.966
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	-160.714
5-th percentile	0.72796
Q1	42.159
median	117.5772
Q3	263.699
95-th percentile	556.4564
Maximum	1463.966
Range	1624.68
Interquartile range (IQR)	221.54

Descriptive statistics

Standard deviation	183.2411271
Coefficient of variation (CV)	1.026341492
Kurtosis	2.317422415
Mean	178.5381653
Median Absolute Deviation (MAD)	90.9692
Skewness	1.479546876
Sum	38328394.8
Variance	33577.31065
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83.19	8	< 0.1%
4.75	7	< 0.1%
67.88	6	< 0.1%
15.18	6	< 0.1%
20.25	6	< 0.1%
31.75	6	< 0.1%
50.14	6	< 0.1%
14.31	6	< 0.1%
12.25	6	< 0.1%
113.63	6	< 0.1%
Other values (201414)	214616	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-160.714	1	< 0.1%
-145.9468	1	< 0.1%
-144.7664	1	< 0.1%
-144.4464	1	< 0.1%
-135.8752	1	< 0.1%
-134.74	1	< 0.1%
-134.204	1	< 0.1%
-133.682	1	< 0.1%
-133.672	1	< 0.1%
-133.208	1	< 0.1%

Value	Count	Frequency (%)
1463.966	1	< 0.1%
1445.272	1	< 0.1%
1433.342	1	< 0.1%
1424.1408	1	< 0.1%
1408.344	1	< 0.1%
1408.0252	1	< 0.1%
1399.11	1	< 0.1%
1390.4464	1	< 0.1%
1371.626	1	< 0.1%
1338.92	1	< 0.1%

Year
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 MiB

2017.0	77086
2018.0	73449
2016.0	64144

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1288074
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016.0
2nd row	2016.0
3rd row	2016.0
4th row	2016.0
5th row	2016.0

Value	Count	Frequency (%)
2017.0	77086	35.9%
2018.0	73449	34.2%
2016.0	64144	29.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2017.0	77086	35.9%
2018.0	73449	34.2%
2016.0	64144	29.9%

Most occurring characters

Value	Count	Frequency (%)
0	429358	33.3%
2	214679	16.7%
1	214679	16.7%
.	214679	16.7%
7	77086	6.0%
8	73449	5.7%
6	64144	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1073395	83.3%
Other Punctuation	214679	16.7%

Most frequent character per category

Value	Count	Frequency (%)
0	429358	40.0%
2	214679	20.0%
1	214679	20.0%
7	77086	7.2%
8	73449	6.8%
6	64144	6.0%

Value	Count	Frequency (%)
.	214679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1288074	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	429358	33.3%
2	214679	16.7%
1	214679	16.7%
.	214679	16.7%
7	77086	6.0%
8	73449	5.7%
6	64144	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1288074	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	429358	33.3%
2	214679	16.7%
1	214679	16.7%
.	214679	16.7%
7	77086	6.0%
8	73449	5.7%
6	64144	5.0%

Month
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.469282044
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	1.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	8
Q3	11
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.470552254
Coefficient of variation (CV)	0.4646433531
Kurtosis	-1.085846652
Mean	7.469282044
Median Absolute Deviation (MAD)	3
Skewness	-0.3797205204
Sum	1603498
Variance	12.04473295
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
12	28617	13.3%
11	25343	11.8%
10	24013	11.2%
9	21442	10.0%
8	18303	8.5%
7	16188	7.5%
6	14516	6.8%
5	14406	6.7%
1	13975	6.5%
3	13264	6.2%
Other values (2)	24612	11.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13975	6.5%
2	11434	5.3%
3	13264	6.2%
4	13178	6.1%
5	14406	6.7%
6	14516	6.8%
7	16188	7.5%
8	18303	8.5%
9	21442	10.0%
10	24013	11.2%

Value	Count	Frequency (%)
12	28617	13.3%
11	25343	11.8%
10	24013	11.2%
9	21442	10.0%
8	18303	8.5%
7	16188	7.5%
6	14516	6.8%
5	14406	6.7%
4	13178	6.1%
3	13264	6.2%

Day of Week
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.1 MiB

Friday	48528
Saturday	46892
Sunday	42156
Thursday	23503
Wednesday	18031
Other values (2)	35569

Length

Max length	9
Median length	6
Mean length	6.990525389
Min length	6

Characters and Unicode

Total characters	1500719
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Saturday
2nd row	Saturday
3rd row	Saturday
4th row	Saturday
5th row	Saturday

Value	Count	Frequency (%)
Friday	48528	22.6%
Saturday	46892	21.8%
Sunday	42156	19.6%
Thursday	23503	10.9%
Wednesday	18031	8.4%
Monday	17807	8.3%
Tuesday	17762	8.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
friday	48528	22.6%
saturday	46892	21.8%
sunday	42156	19.6%
thursday	23503	10.9%
wednesday	18031	8.4%
monday	17807	8.3%
tuesday	17762	8.3%

Most occurring characters

Value	Count	Frequency (%)
a	261571	17.4%
d	232710	15.5%
y	214679	14.3%
u	130313	8.7%
r	118923	7.9%
S	89048	5.9%
n	77994	5.2%
s	59296	4.0%
e	53824	3.6%
F	48528	3.2%
Other values (7)	213833	14.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1286040	85.7%
Uppercase Letter	214679	14.3%

Most frequent character per category

Value	Count	Frequency (%)
a	261571	20.3%
d	232710	18.1%
y	214679	16.7%
u	130313	10.1%
r	118923	9.2%
n	77994	6.1%
s	59296	4.6%
e	53824	4.2%
i	48528	3.8%
t	46892	3.6%
Other values (2)	41310	3.2%

Value	Count	Frequency (%)
S	89048	41.5%
F	48528	22.6%
T	41265	19.2%
W	18031	8.4%
M	17807	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1500719	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	261571	17.4%
d	232710	15.5%
y	214679	14.3%
u	130313	8.7%
r	118923	7.9%
S	89048	5.9%
n	77994	5.2%
s	59296	4.0%
e	53824	3.6%
F	48528	3.2%
Other values (7)	213833	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1500719	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	261571	17.4%
d	232710	15.5%
y	214679	14.3%
u	130313	8.7%
r	118923	7.9%
S	89048	5.9%
n	77994	5.2%
s	59296	4.0%
e	53824	3.6%
F	48528	3.2%
Other values (7)	213833	14.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Transaction ID	Date of Travel	Company	City	KM Travelled	Price Charged	Cost of Trip	Customer ID	Payment_Mode	Gender	Age	Income (USD/Month)	Population	Users	Holiday	Profit	Year	Month	Day of Week
0	0	10000429.0	2016-01-02	Yellow Cab	BOSTON MA	15.15	342.62	205.4340	57474.0	Card	Male	34.0	16558.0	248968.0	80021.0	-	137.1860	2016.0	1.0	Saturday
1	1	10000525.0	2016-01-02	Yellow Cab	CHICAGO IL	2.18	51.47	26.4216	4551.0	Cash	Male	19.0	6316.0	1955130.0	164468.0	-	25.0484	2016.0	1.0	Saturday
2	4	10000927.0	2016-01-02	Yellow Cab	NEW YORK NY	34.56	1121.11	485.2224	1808.0	Cash	Male	59.0	18999.0	8405837.0	302149.0	-	635.8876	2016.0	1.0	Saturday
3	5	10000721.0	2016-01-02	Yellow Cab	LOS ANGELES CA	19.20	529.23	246.5280	8117.0	Cash	Male	21.0	5946.0	1595037.0	144132.0	-	282.7020	2016.0	1.0	Saturday
4	7	10000519.0	2016-01-02	Yellow Cab	CHICAGO IL	13.92	327.23	185.4144	4429.0	Cash	Male	20.0	23387.0	1955130.0	164468.0	-	141.8156	2016.0	1.0	Saturday
5	10	10000806.0	2016-01-02	Yellow Cab	NEW YORK NY	10.62	347.48	138.9096	2153.0	Card	Male	18.0	8193.0	8405837.0	302149.0	-	208.5704	2016.0	1.0	Saturday
6	11	10001009.0	2016-01-02	Yellow Cab	PHOENIX AZ	30.00	1000.52	403.2000	21481.0	Card	Male	28.0	18030.0	943999.0	6133.0	-	597.3200	2016.0	1.0	Saturday
7	12	10000516.0	2016-01-02	Yellow Cab	CHICAGO IL	4.72	105.79	62.8704	5803.0	Card	Male	54.0	4964.0	1955130.0	164468.0	-	42.9196	2016.0	1.0	Saturday
8	13	10000663.0	2016-01-02	Yellow Cab	DALLAS TX	12.98	382.31	165.1056	26299.0	Card	Male	37.0	2729.0	942908.0	22157.0	-	217.2044	2016.0	1.0	Saturday
9	16	10000906.0	2016-01-02	Yellow Cab	NEW YORK NY	19.57	552.86	248.9304	2682.0	Card	Male	36.0	15280.0	8405837.0	302149.0	-	303.9296	2016.0	1.0	Saturday

Last rows

	df_index	Transaction ID	Date of Travel	Company	City	KM Travelled	Price Charged	Cost of Trip	Customer ID	Payment_Mode	Gender	Age	Income (USD/Month)	Population	Users	Holiday	Profit	Year	Month	Day of Week
214669	359371	10435429.0	2018-12-31	Yellow Cab	NEW YORK NY	22.44	572.95	301.5936	1402.0	Card	Female	57.0	8870.0	8405837.0	302149.0	-	271.3564	2018.0	12.0	Monday
214670	359372	10437882.0	2018-12-31	Yellow Cab	CHICAGO IL	18.72	247.24	226.8864	5633.0	Cash	Male	49.0	23206.0	1955130.0	164468.0	-	20.3536	2018.0	12.0	Monday
214671	359373	10434558.0	2018-12-31	Yellow Cab	CHICAGO IL	35.34	471.81	496.1736	5085.0	Card	Female	33.0	10274.0	1955130.0	164468.0	-	-24.3636	2018.0	12.0	Monday
214672	359374	10435235.0	2018-12-31	Yellow Cab	NEW YORK NY	3.80	82.52	53.3520	1762.0	Card	Male	62.0	4016.0	8405837.0	302149.0	-	29.1680	2018.0	12.0	Monday
214673	359375	10434288.0	2018-12-31	Yellow Cab	BOSTON MA	2.26	31.37	28.2048	59187.0	Cash	Female	52.0	13751.0	248968.0	80021.0	-	3.1652	2018.0	12.0	Monday
214674	359376	10434486.0	2018-12-31	Yellow Cab	CHICAGO IL	38.11	558.03	484.7592	5727.0	Card	Female	22.0	2106.0	1955130.0	164468.0	-	73.2708	2018.0	12.0	Monday
214675	359377	10435871.0	2018-12-31	Yellow Cab	ORANGE COUNTY	15.34	247.86	185.9208	16342.0	Card	Female	23.0	2677.0	1030185.0	12994.0	-	61.9392	2018.0	12.0	Monday
214676	359378	10438475.0	2018-12-31	Yellow Cab	LOS ANGELES CA	14.40	219.43	179.7120	7237.0	Card	Female	18.0	20571.0	1595037.0	144132.0	-	39.7180	2018.0	12.0	Monday
214677	359382	10438162.0	2018-12-31	Yellow Cab	CHICAGO IL	34.72	472.05	433.3056	4263.0	Card	Male	36.0	19488.0	1955130.0	164468.0	-	38.7444	2018.0	12.0	Monday
214678	359391	10434637.0	2018-12-31	Yellow Cab	CHICAGO IL	3.36	44.86	43.9488	5926.0	Card	Male	58.0	31841.0	1955130.0	164468.0	-	0.9112	2018.0	12.0	Monday

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows